Enterprise Survey 2009
Nepal, 2009
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
314
- Data Files
-
Average GE on
all BEDA loans
with
disbursements
during each
given year (Avg
BEDA GE) -
Bilateral Debt
forgiveness
used to adjust
bilateral
grants (B
Debtf) -
Bilateral
grants used to
construct BEDA
(B Grants) -
Total
disbursements
on bilateral
EDA loans (BEDA
Disb) -
Bilateral grant
equivalents
used to
construct BEDA
(BEDA GQ) -
Bilateral EDA
(BEDA) -
Memo item,
bilateral
technical
assistance
(Memo BTA) -
Average GE on
all EDA loans
with
disbursements
during each
given year (Avg
EDA GE) -
Bilateral Debt
forgiveness
used to adjust
bilateral
grants (B
Debtf) -
Total
disbursements
on EDA loans
(EDA Disb) -
Grant
equivalents
used to
construct EDA
(EDA GQ) -
Effective
Development
Assistance
(EDA) -
Grants used to
construct EDA -
Memo item,
total technical
assistance
(Memo TA) -
Average GE on
all MEDA loans
with
disbursements
during each
given year (Avg
MEDA GE) -
Multilateral
grants used to
construct MEDA
(M Grants) -
Total
disbursements
on
Multilateral
EDA loans (MEDA
Disb) -
Multilateral
grant
equivalents
used to
construct MEDA
(MEDA GQ) -
Multilateral
Effective
Development
Assistance
(MEDA) -
Memo item,
multilateral
technical
assistance
(Memo MTA)
1991 (V19)
Data file: Bilateral grant equivalents used to construct BEDA (BEDA GQ)
Overview
Valid:
134
Invalid:
0
Type:
Discrete
Decimal:
2
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| -81.6842896877769 | |
| -45.2159101398553 | |
| -43.6057013516881 | |
| -34.8758319461865 | |
| -7.35975903986649 | |
| -5.71694574383199 | |
| -0.140679729583541 | |
| -0.0567659552967022 | |
| 0 | |
| 0.071925668259606 | |
| 0.121621125215185 | |
| 0.188386837379403 | |
| 0.261843842302877 | |
| 0.363810009067256 | |
| 0.380312375535115 | |
| 0.394396213334574 | |
| 0.417792607625058 | |
| 0.726351833355335 | |
| 0.876738054582632 | |
| 0.948975929011611 | |
| 1.18549874456739 | |
| 1.40303961240259 | |
| 1.76258658094529 | |
| 1.76271274208225 | |
| 1.78248219770437 | |
| 1.90154527864782 | |
| 1.94146831280675 | |
| 1.94330720748351 | |
| 2.09395655698619 | |
| 2.18563964831423 | |
| 2.36965736554984 | |
| 2.42149207866506 | |
| 3.43742747651458 | |
| 3.58581370915229 | |
| 3.61262663366423 | |
| 3.91363994325526 | |
| 3.99221915019013 | |
| 4.02605892476586 | |
| 4.05890906155751 | |
| 5.60659064819663 | |
| 5.72155593759362 | |
| 5.89198919681578 | |
| 6.02015827426973 | |
| 6.54509834476639 | |
| 6.74364000009248 | |
| 7.10838862749152 | |
| 7.36655521483776 | |
| 7.52760569715831 | |
| 7.95074211348616 | |
| 8.64201838761047 | |
| 9.26116901040536 | |
| 9.42562007622007 | |
| 9.53430648001711 | |
| 9.54418436108114 | |
| 9.58512497102772 | |
| 9.84624887243085 | |
| 9.87959105498945 | |
| 10.5724999648716 | |
| 10.5732980036868 | |
| 11.2224290540181 | |
| 13.8771831909018 | |
| 13.9132161698854 | |
| 14.0689684153901 | |
| 14.6446694866118 | |
| 15.105516669755 | |
| 15.3717348171207 | |
| 15.6150461495513 | |
| 15.6781069240502 | |
| 15.8381014791641 | |
| 16.7818514147137 | |
| 17.5484607815877 | |
| 17.8146884615838 | |
| 18.7830112178207 | |
| 19.9257544109421 | |
| 20.078765804068 | |
| 22.0242926544 | |
| 23.3296791764249 | |
| 23.8142947287633 | |
| 26.347928719019 | |
| 26.4147755315535 | |
| 30.0574014175592 | |
| 30.0599376044759 | |
| 32.0263044897194 | |
| 33.192652198518 | |
| 33.343731033713 | |
| 33.7477830991714 | |
| 37.1083538150917 | |
| 37.3020954135693 | |
| 37.7995396214797 | |
| 39.076419834625 | |
| 45.1784239521502 | |
| 49.8819314353713 | |
| 52.2826100569378 | |
| 56.1795009721699 | |
| 64.7587769632794 | |
| 68.3443331390653 | |
| 74.1529926237979 | |
| 77.5185104212394 | |
| 81.6352293654414 | |
| 91.9247765861647 | |
| 100.510053512896 | |
| 103.614399032938 | |
| 104.673344128257 | |
| 116.637984836576 | |
| 140.693670390064 | |
| 158.772548030179 | |
| 160.307253699715 | |
| 291.045060877953 | |
| 443.592224441997 | |
| 708.403435858204 | |
| 807.23907421734 | |
| 4518.08156569087 |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.